Learn how to create interactive data dashboards using Dash by Plotly, starting from basic setup to advanced layout and interactivity. This article guides you through building responsive, user-driven visualizations tailored for both desktop and mobile devices.
Key Insights
- Gain hands-on experience setting up a local Python environment and constructing a basic data visualization app using Dash.
- Understand how to design responsive dashboard layouts that adapt seamlessly across device types, including mobile and desktop.
- Learn advanced techniques in Dash to implement interactive components, enabling users to control how data is visualized in real time, as taught in the Noble Desktop course.
Note: These materials offer prospective students a preview of how our classes are structured. Students enrolled in this course will receive access to the full set of materials, including video lectures, project-based assignments, and instructor feedback.
Welcome to our data visualization course. My name is Colin Jaffe and I'll be your instructor. We're going to dive into data visualization using complex interactive dashboards using the tool Dash by Plotly.
We'll be exploring all the capabilities of it, but we'll start off with simply how to get started with it, how to set up your environment to run Python locally, and build a very simple data visualization app with Dash. From there, we'll explore layout with Dash, how to build responsive layouts that look good on mobile or desktop. And from there, we'll really explore the limits of Dash's interactivity.
How do we create apps that visualize data, but the way your user wants to see them, put them in the driver's seat. I hope you'll enjoy this course. I always enjoy teaching it, and let's get started.